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Which queries are performance-critical, and which ones are not How does desired/required user experience translate into speci c hot spots in the application How well does a micro-benchmark that assumes no other loads on the system predict the performance of a fully loaded system How does a choice for a better micro-benchmark result affect other applications using the same database server How often do you load large amounts of data versus small amounts of data Is your system database performance constrained, or do you have scalability issues on the mid-tier Such questions let you avoid the biggest trap premature optimization that can complicate your application without helping with its performancecritical parts In short, for performance planning, measurement, and tuning, de ning the context is the key Now, in that context, let s look at the bene ts and costs of using some LINQ components and solutions to obtain better performance The following discussion largely focuses on the costs in the mid-tier and in the LINQ components in particular For an in-depth discussion of the impact that LINQ components have on database performance, refer to Bob Beauchemin s chaper in the book, The SQL Server 2008 MVP Project, and his blog posts Additional resources are listed in Appendix A

void addConnectionListener (ConnectionListener listener)

$ le = Get-Content j:\documents\protocolcsv $a = 0 $ le | Foreach-Object { $a++; "Row" + $a + ": " + $_ } "Total number of rows: " + $a

Costs and Optimizations As discussed in earlier chapters, LINQ is designed for composability and performance The two are closely related Deferred execution allows queries to be composed without the overhead of executing intermediate queries A , which allows further queries to be method can return an composed against it Execution occurs only when the results are consumed On the other hand, a method that uses a string query (such as a SQL command) and that returns a collection cannot provide comparable composability LINQ provides a higher level of abstraction whose implementations entail some costs As in the case of using higher-level languages or managed

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void addMessageChangedListener (MessageChangedListener listener) registers a listener for any change in messages events void addMessageCountListener (MessageCountListener listener)

If you are interested in displaying only the number of rows, you can get this information in a much shorter way:

.

void appendMessages(Message[] messages) throws javaxmail FolderNotFoundException javaxmailMessagingException appends

Writing to a text le in the le system is possible with a few commandlets, especially Set-Content and Add-Content Set-Content exchanges the content, Add-Content adds contents (see Listing 122) Listing 122 Creation of and Adding to a Text File

code, you have to decide if the productivity bene ts of the abstraction are worth the costs The costs vary depending on the operation and the sizes of collections The following are some aspects of the cost of using LINQ in general and some of the key LINQ components in particular First, it is critical to understand the difference between a LINQ query and its results A LINQ query is the de nition of a computation You can execute it as many times as you like, or you can execute it once and cache the results The low-hanging fruit for better performance is often avoiding unnecessary re-execution of a query You can execute the query once and cache the results over a certain period of time if you do not expect the results to change (or if your application can tolerate stale data) This optimization matters most when the basic cost of running a query is high (you have to execute a database query, for example) or when the queried collection is large (for instance, you are going through a large collection to nd a few objects in the result) or when the computation itself is very expensive method or clause) (such as when an expensive predicate is run in the Beyond this general opportunity exist component-speci c challenges and opportunities LINQ to Objects implementation relies on extension methods for C# or the VBNET compiler translates a LINQ query from expression syntax into a set of method calls The translation to method calls and the execution of the method calls typically performs only basic optimizations based on the structure of the code Unlike in the case of a database, it does not have statistics about the data (such as the size of a collection, indexes, or distribution of values) for doing additional optimizations such as picking hash joins or nested loop joins based on sizes of collections Hence, there may be more optimal ways to deal with very large sets of data than bringing them all into memory and using LINQ to Objects queries against them This is exactly why LINQ uses expression trees that are translated more ef ciently into query data LINQ to SQL is one such component that translates expression trees into SQL statements that the database query processor can optimize LINQ to SQL provides object abstraction over relational data This (which is not surinvolves the following costs over the use of a in its implementation) The prising, because LINQ to SQL uses.

$ le = "j:\documents\protocoltxt" "Start of new protocol le " | Set-Content $ le "New entry " | Add-content $ le "New entry " | Add-content $ le "New entry " | Add-content $ le "Content of le is now:" Get-content $ le

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